Ask HN: Is anyone working on neuromorphic CPU architectures for AI?

Right now, we're emulating neural networks (which in nature, are largely asynchronous) on clock-signal-driven von Neumann computers solving matrix math. I'm not a machine learning expert, but I wonder whether the power consumption needs of this approach will become a barrier to faster, more efficient large language models. After all, the human brain seems to operate over 80 billion neurons on approximately 20 watts. Are there organisations, companies or labs working on neuromorphic CPU architectures that are better suited to run LLMs than general computing loads?